Page 8 - NEDBANK YES BOOKLET

The world of work is fast evolving and a lot of research focuses on skills
anticipated for the future. Below are examples of the skills the University of
Witwatersrand has researched and believes you will need to succeed in your
career:

Cognitive flexibility Cognitive flexibility is flexible thinking. Essentially, it is
the ability to think flexibly to move from one train of
thought to the next, as well as to perform or think about
more than a single concept simultaneously. This is based
largely on the transfer of knowledge and skills beyond an
initial learning situation. The rise of digital technologies
means you’re going to need to be able to handle the
opportunities and challenges that come with it. You will
need to change and conceptualise several complex ideas
all at once.
Digital literacy Digital literacy refers to an individual’s ability to find,
and computational evaluate and compose clear information through
thinking writing and other media on various digital platforms.
Computational thinking is the process of approaching
a problem in a systematic manner and creating and
expressing a solution in such a way that it can be carried
out by a computer. Digital literacy is evaluated by an
individual’s grammar, composition, typing skills and
ability to produce text, images, audio and designs using
technology.

Computational thinking is an approach
to problem-solving that involves critical and logical
thinking to solve problems in the same way a computer
would. Pattern recognition is finding similarities within
the problem and among other problems, using what has
worked before to help you solve the task at hand.
As the world continues to rely on highly technical and
continuously evolving technologies, the need for those
with the digital skills to match also increases. You’ve most
likely heard of STEM, but have you heard of SMAC (social,
mobile, analytics and cloud)? Being digitally literate offers
capabilities beyond what was once thought possible
when it comes to emerging technologies, such as artificial
intelligence, machine learning, Internet of Things and
data science.

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